设计2025，Vol.38Issue(7)：145-149,5.
基于色彩聚类的数据可视化大屏图表色彩研究
COLOR RESEARCH OF DATA VISUALIZATION LARGE-SCREEN CHART BASED ON COLOR CLUSTERING
摘要
Abstract
This study aims to quantitatively analyze the color characteristics and collocation rules of data visualization large-screen charts across nine industry types,offering insights into color and design principles for visual design innovation.The K-means clustering algorithm was applied to extract colors from 401 samples sourced from the EasyV and Fan-soft platforms.The optimal number of extracted colors was determined by automatically obtaining the best K value,and a color network model was constructed with a focus on dominant colors.The HSV color space model was used to summarize the color characteristics of large-screen charts through frequency statistics across three dimensions:hue,saturation,and brightness.Color selection in various industries is closely tied to industry-specific characteristics and objectives.Through quantitative analysis of data and visual representations,this study objectively elucidates the color features of large-screen charts across different industries.This research not only provides valuable color-matching references for designers but also significantly improves design efficiency.It holds substantial theoretical and practical significance for the application of chart colors and information transmission in the field of visualization.关键词
数据可视化大屏/数据图表/K-MEANS聚类/HSV色彩空间/色彩网络Key words
Large data visualization screen/Chart/K-means clustering algorithm/HSV color model/Color network分类
计算机与自动化引用本文复制引用
王冰冰,蒋琤琤..基于色彩聚类的数据可视化大屏图表色彩研究[J].设计,2025,38(7):145-149,5.
